Literature DB >> 14681469

trome, trEST and trGEN: databases of predicted protein sequences.

Peter Sperisen1, Christian Iseli, Marco Pagni, Brian J Stevenson, Philipp Bucher, C Victor Jongeneel.   

Abstract

We previously introduced two new protein databases (trEST and trGEN) of hypothetical protein sequences predicted from EST and HTG sequences, respectively. Here, we present the updates made on these two databases plus a new database (trome), which uses alignments of EST data to HTG or full genomes to generate virtual transcripts and coding sequences. This new database is of higher quality and since it contains the information in a much denser format it is of much smaller size. These new databases are in a Swiss-Prot-like format and are updated on a weekly basis (trEST and trGEN) or every 3 months (trome). They can be downloaded by anonymous ftp from ftp://ftp.isrec.isb-sib.ch/pub/databases.

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Year:  2004        PMID: 14681469      PMCID: PMC308801          DOI: 10.1093/nar/gkh067

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  13 in total

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  13 in total

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4.  Pan-genome isolation of low abundance transcripts using SAGE tag.

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7.  Transcriptomic and proteomic profiling of two porcine tissues using high-throughput technologies.

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8.  CleanEx: new data extraction and merging tools based on MeSH term annotation.

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Journal:  Nucleic Acids Res       Date:  2009-01       Impact factor: 16.971

9.  MyHits: improvements to an interactive resource for analyzing protein sequences.

Authors:  Marco Pagni; Vassilios Ioannidis; Lorenzo Cerutti; Monique Zahn-Zabal; C Victor Jongeneel; Jörg Hau; Olivier Martin; Dmitri Kuznetsov; Laurent Falquet
Journal:  Nucleic Acids Res       Date:  2007-06-01       Impact factor: 16.971

10.  The Protein Identifier Cross-Referencing (PICR) service: reconciling protein identifiers across multiple source databases.

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